Fracturing unit displacement one-key setting dynamic distribution method

Abstract

The invention relates to a fracturing unit displacement one-key setting dynamic distribution method, which integrates pump sequence stage matching, equipment efficiency weight self-adaptive distribution and fault equipment intelligent identification unit equipment displacement redistribution, and solves the problem of one-key setting cooperative regulation of fracturing unit displacement in fracturing construction. And key technical support is provided for efficient development of shale oil and gas. The method is suitable for fracturing construction of a fracturing unit in complex reservoirs such as shale oil and gas, and for scenes such as displacement dynamic distribution and fault tolerance of multi-dimensional full-process collaborative operation of a fracturing pump unit, through fusion of pump sequence stage matching, equipment efficiency weight self-adaptive distribution and fault equipment intelligent identification unit equipment displacement redistribution, the multi-dimensional full-process collaborative operation of the fracturing pump unit is realized, and the multi-dimensional full-process collaborative operation of the fracturing pump unit is realized. The problems that a traditional control technology cannot cover whole-process one-key arrangement of the fracturing unit, and equipment faults cannot be automatically recognized are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent control of oil and gas field fracturing construction, and in particular to a method for dynamically allocating the displacement of a fracturing unit using one-touch setting. Background Art

[0002] During shale oil and gas fracturing construction, the fracturing unit needs to increase the pressure of low-pressure liquid to 30~140MPa high-pressure fluid through multi-stage coordinated operations to fracture the formation and support the cracks, thereby improving the oil and gas conductivity.

[0003] Although traditional fracturing unit displacement allocation technology has introduced automated control, it still has significant drawbacks: First, existing solutions fail to fully consider the multi-stage nature of fracturing operations (such as pre-fluid injection, acid to soften the formation, step-by-step flow rate increases to fracture the rock formation, and sand-carrying fluid to prop up the fractures). They still rely on manual staged equipment startup, resulting in cumbersome operations and delayed flow rate response. Secondly, the fault handling mechanism is crude, which simply stops the faulty equipment and then redistributes the set displacement. It does not take into account the actual operating conditions of the faulty equipment, which can easily cause displacement fluctuations or construction interruptions.

[0004] The above problems make it impossible for existing technologies to truly achieve one-click displacement setting and intelligent allocation for the entire process of the fracturing unit, seriously restricting fracturing efficiency and operation continuity. Summary of the Invention

[0005] The present invention provides a method for dynamic allocation of fracturing unit displacement with one-click setting, which integrates pump sequence stage matching, adaptive allocation of equipment efficiency weights, and intelligent identification of faulty equipment to redistribute the unit equipment displacement. This overcomes the difficulty of collaborative control of fracturing unit displacement with one-click setting during fracturing construction, and provides key technical support for the efficient development of shale oil and gas.

[0006] The technical solution adopted by the present invention is: a method for dynamically allocating the displacement of a fracturing unit with one-touch setting, characterized by comprising the following steps: S1. Integrate communication protocols and establish standardized equipment communication interfaces to achieve integrated communication, data acquisition, and control command issuance for all fracturing devices in the fracturing unit. S2. Use the MQTT protocol to interact with the fracturing construction monitoring system in real time, receive construction curve stage information, and obtain real-time construction stage information; S3. Establish a process-driven grouping model. According to the fracturing operation, it can be divided into pre-treatment, base fluid and sand-carrying fluid. The fracturing unit is divided into pre-treatment group G1, base fluid group G2 and sand-carrying fluid group G3. , The base liquid group G2 and the sand carrying group G3 equipment operate independently. After completing the pre-pressing pretreatment work, they will operate simultaneously. The difference is that the sand carrying group G3 equipment pumps sand when there is sand concentration, and pumps base liquid when there is no sand, while the base liquid group G2 equipment only pumps base liquid. S4. Build Phase - Device Activation Matrix : S5. Construct equipment efficiency characteristic matrix between; S6. Constructing a pump sequence stage identification module: identifying the current stage based on the construction data information of the fracturing construction monitoring system and automatically activating the current marshaling equipment; S7, build the set displacement core allocation algorithm: through the current stage, target displacement rate Set , activated marshaling group G_k, marshaling equipment efficiency matrix E, sand carrying group ratio , calculate the group displacement Rate_G k Allocate displacement rate to each device in the group i _Set; S8. Build an intelligent equipment fault identification and adjustment algorithm. If power fluctuations are abnormal during operation, it is considered an equipment abnormality. Build an intelligent power feature identification algorithm to identify the faulty equipment and reduce the displacement of the faulty equipment so that its power fluctuations can return to normal. S9. Build a displacement redistribution mechanism. That is, when the data center identifies a fault in the equipment within the formation, the displacement redistribution mechanism will be activated in real time.

[0007] Preferably, in step S1, the integrated communication protocols include: Modbus, Profinet and Ethernet / IP protocols.

[0008] Preferably, in step S2, the data information of the real-time construction stage is obtained including the current stage ID, liquid type, stage name and sand concentration.

[0009] As a preferred embodiment, the specific steps of S6 are: based on MQTT communication, obtain the current stage ID, liquid type, stage name and sand concentration information from the fracturing construction monitoring curve software, identify the current stage, and automatically activate the current marshalling equipment.

[0010] As a preference, in step S7, a single device is allocated a displacement rate i The _Set calculation algorithm is as follows: S71, calculate the current marshaling displacement based on the process S72, calculate the total efficiency of equipment in the activated group Where: e_i represents the efficiency coefficient of the current equipment, Ω represents the sum of the current group efficiency coefficients; S73, calculate the set base displacement of the current formation Where: Rate_base represents the base displacement of the group, Rate_G k Indicates the current group set displacement Optimize allocation: Among them: FOR each device i in G_k means traversing all devices in the current group; Rate_base*e i Indicates that the single device allocated displacement is obtained by multiplying the efficiency value by the base displacement; Rate i _Set indicates the current device set displacement.

[0011] Preferably, in step S8, the equipment fault intelligent identification and adjustment algorithm is as follows: S81. Power Fault Feature Extraction and Identification S811, Multi-scale power fluctuation monitoring Construct a sliding time window function to collect device power data in real time: Short-time window: Δt1=3s Long time window: Δt2=60s S812, composite fault judgment index Define a dynamic threshold function: in: is a short-term fluctuation; P(t) is the real-time power; is the sampling time interval; in the expression, , represents the number of sampling points in the short-time window; in the expression, Indicates the power mean of the short-time window sampling points; T is the current time; ,therefore It can quantify the power fluctuation intensity within 3 seconds to capture transient anomalies; in: is a long-term fluctuation; in the expression, , represents the number of sampling points in the short-time window; in the expression, , represents the power mean of the short-time window sampling point, T is the current time, ,therefore It can quantify the baseline level of power fluctuation within 60 seconds and is used to distinguish short-term abnormalities from long-term normal fluctuations.

[0012] S813, fault triggering conditions: must be met at the same time The intensity of short-term fluctuations exceeds 3 standard deviations of the long-term fluctuation baseline, which is used to identify significant anomalies; Excluding scenarios where the long-term window itself fluctuates significantly to ensure recognition accuracy, this means that if the long-term fluctuation exceeds 6KW and is less than 10KW during device operation, an abnormality may occur; Where: dRate i / dt indicates the real-time rate of change of the current equipment displacement. Set Indicates the current device's set displacement, Rate i Indicates the current real-time displacement of the device, |Rate Set -Rate i | / S indicates the current real-time deviation value of the device. When the device is operating normally, the real-time change rate of displacement and the real-time deviation value of the device should be equal or the real-time change rate should be less than the real-time deviation value of the device. If it is greater than the real-time deviation value, it indicates that the displacement is fluctuating abnormally and an abnormality may occur. S82, hierarchical response control strategy S821, Fault confirmation period Trigger conditions: All three conditions in step S813 are met for the first time; Execute action: A. Record the current displacement of the faulty device Rate0=Rate current ,Rate curren Indicates the current displacement; B. Create a marshalling fault set G_K_F; C. Create the group fault G_K_Fault flag and set it to 1; D. G_K_F.ADD(i) i represents the current faulty device number; S822: progressive displacement adjustment Execute action: A. nth cycle: n = 1, 2, 3, 4, 5; B. Calculate the attenuation coefficient: ; C. Set temporary displacement: And send it to the device; D. Issue adjustment instructions and start a 5-second countdown; E. Identify again whether the power fluctuation of the current device has returned to normal. If it is normal, exit the current cycle. If it is still abnormal, continue to execute the cycle until n=5.

[0013] Preferably, in step S9, the displacement redistribution mechanism algorithm is constructed as follows: Where: Indicates the displacement after redistribution; Indicates the efficiency coefficient of the current non-faulty equipment; Indicates the total efficiency of the current marshaling after excluding the efficiency of faulty equipment; Indicates the sum of the displacement of faulty equipment and ensures the conservation of the total displacement of the unit ; represents the sum of the reallocated displacements; Indicates the initial displacement of the unit before a fault occurs.

[0014] Preferably, the specific steps of S9 are: S91, if it is identified that the group G_K_Fault is 1; S92. Count all numbers in the G_K_F set; S93. Count the total displacement of faulty equipment; S94, after deducting the efficiency coefficient of the faulty equipment; S95. Calculate the efficiency coefficient ratio of the currently unfaulty equipment; S94, calculating the displacement of the current device; The operations of S95, S91 to S94 will continue in a cycle of 1S.

[0015] Preferably, in step S4: The row vector corresponds to the stage ID: 1, 2, ..., m; Column vector corresponds to device grouping: n=3; Matrix element Q[i,j]=1 means that stage i is in G j The marshalling device is activated, 0 means it is not activated.

[0016] The beneficial effects achieved by the present invention are as follows: the present invention integrates pump sequence phase matching, adaptive allocation of equipment efficiency weights, and intelligent identification of faulty equipment to redistribute the displacement of the unit equipment, thus overcoming the difficulty of one-click setting and coordinated control of the displacement of the fracturing unit in fracturing construction, and providing key technical support for the efficient development of shale oil and gas. The present invention is applicable to fracturing units in fracturing construction of complex reservoirs such as shale oil and gas, and is aimed at scenarios such as dynamic allocation of displacement and fault tolerance for the multi-dimensional and full-process collaborative operation of the fracturing pump unit. By integrating pump sequence phase matching, adaptive allocation of equipment efficiency weights, and intelligent identification of faulty equipment to redistribute the displacement of the unit equipment, the present invention solves the problems of traditional control technology being unable to cover the one-click setting of the full process of the fracturing unit, low operating efficiency, and incompatibility with differentiated equipment performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is a control flow chart of the present invention; Figure 2 This is a control electrical schematic diagram of the present invention. DETAILED DESCRIPTION

[0018] The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0019] like Figure 1-Figure 2 As shown, the present invention provides a method for dynamically allocating the displacement of a fracturing unit by one-key setting, comprising the following steps: S1. Integrate communication protocols and establish standardized equipment communication interfaces to achieve integrated communication, data acquisition, and control command issuance for all fracturing devices in the fracturing unit. Specifically, by integrating industrial communication protocols such as Modbus, Profinet, and Ethernet / IP, heterogeneous integrated communication is achieved for fracturing devices equipped with various PLCs (Hollysys, Siemens, and Rockwell); S2. Use the MQTT protocol to interact with the fracturing construction monitoring system in real time, receive construction curve stage information, and obtain real-time construction stage information; Specifically, real-time construction stage information is obtained, including: current stage ID, liquid type, stage name, and sand concentration; S3. Establish a process-driven grouping model (as shown in the following table). According to the fracturing operation, it can be divided into pre-treatment, base fluid and sand-carrying fluid. The fracturing unit is divided into pre-treatment group G1, base fluid group G2 and sand-carrying fluid group G3. (G2 includes all devices in G1 and adds new devices), (G2 and G3 are independent of each other); the base fluid group G2 and the sand carrying group G3 equipment operate independently. After completing the pre-treatment work before pressure treatment (i.e. pre-fluid and acid solution), they will operate simultaneously. The difference is that the sand carrying group G3 equipment pumps sand when there is sand concentration, and pumps base fluid when there is no sand, while the base fluid group G2 equipment only pumps base fluid; S4. Build Phase - Device Activation Matrix (representing a matrix with m rows and n columns): Specifically: The row vector corresponds to the stage ID: 1, 2, ..., m; Column vector corresponds to device grouping: n=3; Matrix element Q[i,j]=1 means that stage i is in G j Marshalling device activation, 0 means not activated; S5. Construct equipment efficiency characteristic matrix between; Specifically, because a fracturing unit may have a 3000-type (water horsepower) fracturing device and a 2000-type (water horsepower) fracturing device and the performance is also different; S6. Build a pump sequence phase identification module: Identify the current phase (pre-fluid / acid / base fluid / sand-carrying fluid) based on the construction data information of the fracturing construction monitoring system and automatically activate the current marshaling equipment; Specifically, based on MQTT communication, the system obtains information such as the current stage ID, liquid type, stage name, sand concentration, etc. from the fracturing operation monitoring curve software, identifies the current stage, and automatically activates the current marshalling equipment. S7, build the set displacement core allocation algorithm: through the current stage, target displacement rate Set , activated marshaling group G_k, marshaling equipment efficiency matrix E, sand carrying group ratio , calculate the group displacement Rate_G k Allocate displacement rate to each device in the group i _Set; Single device allocation displacement rate i The _Set calculation algorithm is as follows: S71. Calculate the current marshaling capacity based on the process (see the table below) S72, calculate the total efficiency of equipment in the activated group Where: e_i represents the efficiency coefficient of the current equipment, Ω represents the sum of the current group efficiency coefficients; S73, calculate the set base displacement of the current formation Where: Rate_base represents the base displacement of the group, Rate_G k Indicates the current group set displacement Optimize allocation: Among them: FOR each device i in G_k means traversing all devices in the current group; Rate_base*e iIndicates that the single device allocated displacement is obtained by multiplying the efficiency value by the base displacement; Rate i _Set indicates the current device set displacement; S8. Build an intelligent equipment fault identification and adjustment algorithm. Because power = displacement * pressure, if power fluctuates abnormally during operation (large fluctuations within a short period of time), it means that the displacement and pressure are unstable, which can be considered an equipment abnormality. Build an intelligent power signature recognition algorithm to identify faulty equipment and intelligently reduce the displacement of the faulty equipment to restore its power fluctuations to normal. The intelligent identification and adjustment algorithm for equipment faults is as follows: S81. Power Fault Feature Extraction and Identification S811, Multi-scale power fluctuation monitoring Construct a sliding time window function to collect device power data in real time: Short-time window: Δt1=3s (capture transient anomalies) Long time window: Δt2=60s (analyzing trend characteristics) S812, composite fault judgment index Define a dynamic threshold function: in: is a short-term fluctuation; P(t) is the real-time power; is the sampling time interval; in the expression, , represents the number of sampling points in the short-time window; in the expression, Indicates the power mean of the short-time window sampling points; T is the current time; ,therefore It can quantify the power fluctuation intensity within 3 seconds to capture transient anomalies; in: is a long-term fluctuation; in the expression, , represents the number of sampling points in the short-time window; in the expression, , represents the power mean of the short-time window sampling point, T is the current time, ,therefore It can quantify the baseline level of power fluctuation within 60 seconds and is used to distinguish short-term abnormalities from long-term normal fluctuations.

[0020] S813, fault triggering conditions: must be met at the same time The intensity of short-term fluctuations exceeds 3 standard deviations of the long-term fluctuation baseline, which is used to identify significant anomalies; Excluding scenarios where the long-term window itself fluctuates significantly (such as frequent starts and stops) to ensure recognition accuracy, it means that if the long-term fluctuation during device operation exceeds 6KW and is less than 10KW, an abnormality may occur; Where: dRate i / dt indicates the real-time rate of change of the current equipment displacement. Set Indicates the current device's set displacement, Rate i Indicates the current real-time displacement of the device, |Rate Set -Rate i | / S indicates the current real-time deviation value of the device. When the device is operating normally, the real-time change rate of displacement and the real-time deviation value of the device should be equal or the real-time change rate should be less than the real-time deviation value of the device. If it is greater than the real-time deviation value, it indicates that the displacement is fluctuating abnormally and an abnormality may occur. S82, hierarchical response control strategy S821, Fault confirmation period Trigger conditions: All three conditions in step S813 are met for the first time; Execute action: A. Record the current displacement of the faulty device Rate0=Rate current ,Rate curren Indicates the current displacement B. Create a marshalling fault set G_K_F; C. Create the group fault G_K_Fault flag and set it to 1; D. G_K_F.ADD(i) i represents the current faulty device number; S822: progressive displacement adjustment Execute action: A. nth cycle: n = 1, 2, 3, 4, 5; B. Calculate the attenuation coefficient: ; C. Set temporary displacement: And send it to the device; D. Issue adjustment instructions and start a 5-second countdown; E. Re-identify whether the power fluctuation of the current device has returned to normal. If it is normal, exit the current cycle. If it is still abnormal, continue to execute the cycle until n=5; This method can quickly and accurately identify equipment faults, gradually reduce the displacement of the faulty equipment, and monitor in real time whether the equipment has returned to normal. If the problem remains unresolved after five consecutive 25-second cycles, the equipment can be shut down, avoiding long-term equipment failure operation and reducing the risk of sudden changes in unit displacement. S9. Build a displacement redistribution mechanism. When the data center identifies a fault in a unit, it will activate the displacement redistribution mechanism in real time. The displacement of the current unit displacement minus the sum of the faulty unit displacement, minus the efficiency coefficient of the faulty unit, is calculated again to obtain the displacement of the current non-faulty unit in the unit. The algorithm for constructing the displacement redistribution mechanism is as follows: Where: Indicates the displacement after redistribution; Indicates the efficiency coefficient of the current non-faulty equipment; Indicates the total efficiency of the current marshaling after excluding the efficiency of faulty equipment; Indicates the sum of the displacement of faulty equipment and ensures the conservation of the total displacement of the unit ; represents the sum of the reallocated displacements; Indicates the initial displacement of the unit before a fault occurs.

[0021] Specifically: S91, if it is identified that the group G_K_Fault is 1; S92. Count all numbers in the G_K_F set; S93. Count the total displacement of faulty equipment; S94, after deducting the efficiency coefficient of the faulty equipment; S95. Calculate the efficiency coefficient ratio of the currently unfaulty equipment; S94, calculating the displacement of the current device; The operations of S95, S91~S94 will continue in a cycle of 1S; This operation can effectively avoid the risk to construction safety caused by excessive changes in unit displacement when equipment within the group fails.

[0022] It should be noted that the description of the above technical solutions is illustrative only. This specification may be embodied in various forms and should not be construed as limiting the technical solutions set forth herein. Rather, these descriptions are provided to ensure that the disclosure of the present invention is thorough and complete and to fully convey the scope of the disclosure to those skilled in the art. Furthermore, the technical solutions of the present invention are limited only by the scope of the claims.

[0023] Finally, it should be noted that the above embodiments are merely representative examples of the present invention. Obviously, the present invention is not limited to the above embodiments and is susceptible to numerous variations. Any simple modifications, equivalent variations, and modifications to the above embodiments based on the technical essence of the present invention shall be deemed to fall within the scope of protection of the present invention.

Claims

1. A method for dynamically allocating displacement of a fracturing unit with one-touch setting, characterized by: The following steps are involved: S1. Integrate communication protocols and establish standardized equipment communication interfaces to achieve integrated communication, data acquisition, and control command issuance for all fracturing devices in the fracturing unit. S2. Use the MQTT protocol to interact with the fracturing construction monitoring system in real time, receive construction curve stage information, and obtain real-time construction stage information; S3. Establish a process-driven grouping model. According to the fracturing operation, it can be divided into pre-treatment, base fluid and sand-carrying fluid. The fracturing unit is divided into pre-treatment group G1, base fluid group G2 and sand-carrying fluid group G3. , The base liquid group G2 and the sand carrying group G3 equipment operate independently. After completing the pre-pressing pretreatment work, they will operate simultaneously. The difference is that the sand carrying group G3 equipment pumps sand when there is sand concentration, and pumps base liquid when there is no sand, while the base liquid group G2 equipment only pumps base liquid. S4. Build Phase - Device Activation Matrix : S5. Construct equipment efficiency characteristic matrix between; S6. Constructing a pump sequence stage identification module: identifying the current stage based on the construction data information of the fracturing construction monitoring system and automatically activating the current marshaling equipment; S7, build the set displacement core allocation algorithm: through the current stage, target displacement rate Set , activated marshaling group G_k, marshaling equipment efficiency matrix E, sand carrying group ratio , calculate the group displacement Rate_G k Allocate displacement rate to each device in the group i _Set; S8. Build an intelligent equipment fault identification and adjustment algorithm. If power fluctuations are abnormal during operation, it is considered an equipment abnormality. Build an intelligent power feature identification algorithm to identify the faulty equipment and reduce the displacement of the faulty equipment so that its power fluctuations can return to normal. S9. Build a displacement redistribution mechanism, that is, when the data center identifies a fault in the equipment within the formation, the displacement redistribution mechanism will be activated in real time.

2. The method for dynamic allocation of displacement of a fracturing unit by one-key setting according to claim 1, characterized in that: In step S1, the integrated communication protocols include: Modbus, Profinet and Ethernet / IP protocols.

3. The one-key setting dynamic allocation method for fracturing unit displacement according to claim 1, characterized in that: In step S2, data information of the real-time construction stage is obtained, including the current stage ID, liquid type, stage name and sand concentration.

4. The method for dynamic allocation of displacement of a fracturing unit by one-touch setting according to claim 1, characterized in that: The specific steps of S6 are: based on MQTT communication, obtain the current stage ID, liquid type, stage name and sand concentration information from the fracturing construction monitoring curve software, identify the current stage, and automatically activate the current marshalling equipment.

5. The method for dynamic allocation of displacement of a fracturing unit by one-touch setting according to claim 1, characterized in that: In step S7, a single device is assigned a displacement rate i The _Set calculation algorithm is as follows: S71, calculate the current marshaling displacement based on the process S72, calculate the total efficiency of equipment in the activated group Where: e_i represents the efficiency coefficient of the current equipment, Ω represents the sum of the current group efficiency coefficients; S73, calculate the set base displacement of the current formation Where: Rate_base represents the base displacement of the group, Rate_G k Indicates the current group set displacement Optimize allocation: Among them: FOR each device i in G_k means traversing all devices in the current group; Rate_base*e i Indicates that the single device allocated displacement is obtained by multiplying the efficiency value by the base displacement; Rate i _Set indicates the current device set displacement.

6. The method for dynamic allocation of displacement of a fracturing unit by one-touch setting according to claim 1, characterized in that: In step S8, the equipment fault intelligent identification and adjustment algorithm is as follows: S81. Power Fault Feature Extraction and Identification S811, Multi-scale power fluctuation monitoring Construct a sliding time window function to collect device power data in real time: Short-time window: Δt1=3s Long time window: Δt2=60s S812, composite fault judgment index Define a dynamic threshold function: in: is a short-term fluctuation; P(t) is the real-time power; is the sampling time interval; in the expression, , represents the number of sampling points in the short-time window; in the expression, Indicates the power mean of the short-time window sampling points; T is the current time; ,therefore It can quantify the power fluctuation intensity within 3 seconds to capture transient anomalies; in: is a long-term fluctuation; in the expression, , represents the number of sampling points in the short-time window; in the expression, , represents the power mean of the short-time window sampling point, T is the current time, ,therefore It can quantify the baseline level of power fluctuation within 60 seconds and is used to distinguish short-term abnormalities from long-term normal fluctuations. S813, fault triggering conditions: must be met at the same time The intensity of short-term fluctuations exceeds 3 standard deviations of the long-term fluctuation baseline, which is used to identify significant anomalies; Excluding scenarios where the long-term window itself fluctuates significantly to ensure recognition accuracy, this means that if the long-term fluctuation exceeds 6KW and is less than 10KW during device operation, an abnormality may occur; Where: dRate i / dt indicates the real-time rate of change of the current equipment displacement. Set Indicates the current device's set displacement, Rate i Indicates the current real-time displacement of the device, |Rate Set -Rate i | / S indicates the current real-time deviation value of the device. When the device is operating normally, the real-time change rate of displacement and the real-time deviation value of the device should be equal or the real-time change rate should be less than the real-time deviation value of the device. If it is greater than the real-time deviation value, it indicates that the displacement is fluctuating abnormally and an abnormality may occur. S82, hierarchical response control strategy S821, Fault confirmation period Trigger conditions: All three conditions in step S813 are met for the first time; Execute action: A. Record the current displacement of the faulty device Rate0=Rate current ,Rate curren Indicates the current displacement; B. Create a marshalling fault set G_K_F; C. Create the group fault G_K_Fault flag and set it to 1; D. G_K_F.ADD(i) i represents the current faulty device number; S822: progressive displacement adjustment Execute action: A. nth cycle, n=1, 2, 3, 4, 5; B. Calculate the attenuation coefficient: ; C. Set temporary displacement: And send it to the device; D. Issue adjustment instructions and start a 5-second countdown; E. Identify again whether the power fluctuation of the current device has returned to normal. If it is normal, exit the current cycle. If it is still abnormal, continue to execute the cycle until n=5.

7. The method for dynamic allocation of displacement of a fracturing unit by one-touch setting according to claim 1, characterized in that: In step S9, the displacement redistribution mechanism algorithm is constructed as follows: Where: Indicates the displacement after redistribution; Indicates the efficiency coefficient of the current non-faulty equipment; Indicates the total efficiency of the current marshaling after excluding the efficiency of faulty equipment; Indicates the sum of the displacement of faulty equipment and ensures the conservation of the total displacement of the unit ; represents the sum of the reallocated displacements; Indicates the initial displacement of the unit before a fault occurs.

8. The method for dynamic allocation of displacement of a fracturing unit by one-key setting according to claim 1, characterized in that: The specific steps for S9 are: S91, if it is identified that the group G_K_Fault is 1; S92. Count all numbers in the G_K_F set; S93. Count the total displacement of faulty equipment; S94, after deducting the efficiency coefficient of the faulty equipment; S95. Calculate the efficiency coefficient ratio of the currently unfaulty equipment; S94, calculating the displacement of the current device; The operations of S95, S91 to S94 will continue in a cycle of 1S.

9. The method for dynamic allocation of displacement of a fracturing unit by one-touch setting according to claim 1, characterized in that: In step S4: The row vector corresponds to the stage ID: 1, 2, ..., m; Column vector corresponds to device grouping: n=3; Matrix element Q[i,j]=1 means that stage i is in G j The marshalling device is activated, 0 means it is not activated.

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